AnalysisAI ModelsNovember 4, 2026

Paper argues frequent context compaction makes long-context LLMs unnecessary

Read original source →arxiv.org

A 12-author paper claims frequent context compaction preserves task accuracy across long-horizon and long-input tasks, suggesting long-context language models may be unnecessary. The work motivates semantic state space models (SSSMs) as an alternative.

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